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48 reviewsData platform. It’s intended for a broad audience, ranging from those who are brand new to Big Data, to those on the business and management side, to architects, and to developers who want a glimpse into the technical details that underpin this platform. That said, we couldn’t cover everything in this book. Harness the Power of Big Data: The IBM Big Data Platform is meant to be a jumping-off point, igniting a desire to explore more of this platform and leave you with a strong understanding of what makes it so different. You don’t have to read this book from front to back, because it’s organized into six parts that enable you to jump into the specific topics in which you’re interested. That said, we do reference other parts of the book, so you will benefit the most if you read it from front to back.
The chapters in Part I, “The Big Deal About Big Data,” show you how to identify and define what Big Data is (Chapter 1), apply usage patterns to business scenarios to avoid the doomsday Big Data “science project” (Chapter 2), and articulate the key components that make up the IBM Big Data platform (Chapter 3). Having a strong understanding of the IBM Big Data platform capabilities gives you some insight into how and why we built it the way we did (integrated, governed, well tooled, accelerated, consumable, and capable). That said, even if you don’t make IBM a partner on your Big Data journey, you’re going to discover the right questions to ask whatever partner you choose. (We think when you ask these question to other vendors, you’ll start to really appreciate what IBM has to offer in this space.) Unfortunately, some folks believe that Big Data is just Hadoop; after reading Chapter 3, we think that you’ll be able to articulate why Hadoop is critical to a Big Data platform, but only as part of a much broader ecosystem that includes many Big Data capabilities, such as analytics, visualization, …
